Job Description Our client is seeking a Senior Data Engineer to support and scale a rapidly growing customer analytics platform. Following the addition of a new Chief Marketing Officer focused on customer loyalty, personalization, and engagement, the organization has made significant investments in its data ecosystem, including the development of a modern data warehouse and implementation of a customer identity enrichment solution. This individual will play a critical role in accelerating data platform initiatives, enhancing data infrastructure, and ensuring operational resiliency within a lean analytics team. The ideal candidate is a hands-on engineer with deep experience designing scalable data solutions, building robust ETL/ELT pipelines, and partnering directly with business stakeholders to deliver actionable insights. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

To learn more about how we collect, keep, and process your private information, please review

Insight Global's Workforce Privacy Policy:

https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 6+ years of experience as a Data Engineer, Analytics Engineer, or similar role Experience in a Microsoft environment Strong experience designing and supporting modern cloud-based data warehouse solutions Advanced SQL development and performance tuning expertise Hands-on experience with ETL/ELT pipeline design, development, and optimization Strong understanding of dimensional modeling and data architecture best practices Experience integrating APIs and external data sources into enterprise data platforms Experience working within cloud environments and modern data ecosystems Strong documentation skills and ability to create maintainable technical artifacts Proven ability to collaborate directly with business, analytics, and marketing stakeholders Strong communication skills and ability to work independently in a remote environment Experience with Microsoft Fabric Experience supporting customer analytics, customer insights, or CRM initiatives Background working with loyalty programs and customer engagement data Exposure to Customer Lifetime Value (CLV) analysis and related datasets Experience supporting marketing analytics and campaign measurement initiatives Industry experience within retail, restaurant, hospitality, consumer products, or other customer-focused organizations Experience working within fast-paced, growing analytics organizations